Add timestamps: Natural language processing (for the impatient)

natural-language-processing-for-the-impatient.md

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+Video URL: <PASTE_YOUTUBE_LINK_HERE>
+
+## Contents
+
+00:00:44 Introduction  
+00:01:59 What is Natural Language Processing?  
+00:02:38 Why is Natural Language Processing important?  
+00:03:19 Why is Natural Language Processing hard?  
+00:04:28 Language evolves: dictionary additions  
+00:05:05 Language is flexible  
+00:06:07 Process and tools  
+00:06:33 Get data  
+00:08:52 Transform  
+00:11:30 Encode  
+00:13:04 Example: Information retrieval  
+00:14:03 Visualize  
+00:16:44 Model  
+00:17:57 Tools to use  
+00:18:18 Example: Hate speech detection  
+00:18:48 Best practices  
+00:21:49 Avoid  
+00:24:25 Thank you  
+00:24:44 Question 1: Information retrieval  
+00:27:21 Question 2: Processing in different languages  
+
+## Resources Mentioned
+
+- Kaggle — https://www.kaggle.com/  
+- Data.world — https://data.world/  
+- NLP Datasets (GitHub) — https://github.com/niderhoff/nlp-datasets  
+- Stanford NLP — https://nlp.stanford.edu/  
+- ZIL (Polish NLP resources) — http://zil.ipipan.waw.pl/  
+- Awesome NLP (GitHub) — https://github.com/keon/awesome-nlp